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Examining the effects of station-level factors on metro ridership using multiscale geographically weighted regression

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References

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2015Land use characteristics of subway catchment areas and their influence on subway ridership in Seoul320 cited
2019How does the station-area built environment influence Metrorail ridership? Using gradient boosting decision trees to identify non-linear thresholds311 cited
2016Geographically weighted regression and multicollinearity: dispelling the myth299 cited
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2020Threshold and moderating effects of land use on metro ridership in Shenzhen: Implications for TOD planning226 cited
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2016Examining the influence of stop level infrastructure and built environment on bus ridership in Montreal145 cited
2018Do different datasets tell the same story about urban mobility — A comparative study of public transit and taxi usage111 cited
2022How the built environment promotes public transportation in Wuhan: A multiscale geographically weighted regression analysis

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94 cited

2019Weather and daily mobility in international perspective: A cross-comparison of Dutch, Norwegian and Swedish city regions92 cited

2022A network-distance-based geographically weighted regression model to examine spatiotemporal effects of station-level built environments on metro ridership79 cited

2019Evaluating the effects of public transport fare policy change together with built and non-built environment features on ridership: The case in South East Queensland, Australia76 cited

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